An Effective Method of Eye Detection Using Segmentation and Projection
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2013, Vol 5, Issue 4
Abstract
Face detection and eye detection has long been the subject of interest in practical implementation of image processing and vision. Moreover the exact pupil detection of eye is the cream of research as the basic step of retinal identification. In this paper we present a new method of accurate eye-band detection. The previous approaches in this field failed to work on tilted or inclined facial images. But this approach not only works on tilted faces, but also determines the pupil in the eye exactly.
Authors and Affiliations
Abhishek Bhattachatya , Tanusree Chatterjee , Surajit Goon
A Survey of Machine Learning Algorithm in Network Traffic Classification
Network Traffic Classification is an emerging research area and now a day the research is widely used in various activities such as intrusion detection system and for security purpose. Many of the protocols and proposed...
An Efficient Speaker Diarization using Privacy Preserving Audio Features Based of Speech/Non Speech Detection
Privacy-sensitive audio features for speaker diarization in multiparty conversations: i.e., a set of audio features having low linguistic information for speaker diarization in a single and multiple distant microphone sc...
Battery-Powered Mobile Computer using Denial of Service
A denial-of-service (DoS) or distributed denial-of-service (DDoS) attack is an attempt to make a machine or network resource unavailable to its intended users. Although the means to carry out, motives for, and targets of...
A Review on Impersonation Attack in Mobile Ad-Hoc Network
An ad hoc network is a collection of mobile nodes that dynamically form a temporary network and are capable of communicating with each other without the use of a network infrastructure or any centralized administration....
Reduced Energy Consumption using Wireless Body Area Networks In health monitoring
In this paper we proposed a system based on Wireless Body Area Network to save energy in Health Monitoring systems. This system mainly targets for the patients who are aged, suffering from degenerating diseases.